HPE Future City event-20160224 v5
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Transcript of HPE Future City event-20160224 v5
實現智慧城市的指標
安全
庇護所
固體垃圾
通訊與創新
城市規劃
交通
廢水
水與衛生
經濟
能源
環境
財政
火災與緊急應變
治理
健康
休閒
教育
37120- 17 主題- 100 指標
Smart City Wheel, Boyd Cohen
智慧移動
智慧政府
智慧經濟智慧市民
智慧生活
智慧環境
智慧城市
如何讓城市變得更有智慧
1980s & 1990s
基於資通訊技術的導入與應用
2000~2010
實現e化, Internet成為資訊交換重要媒介
2010~2020
行動化、感應器、IoT、APP ….
資通訊科技本身並不會使城市變 ”Smart”
City as a Platform
created by cities for cities
城市服務 生活品質
城市 1.0• e-City
• 資源: IT系統
城市 2.0• m-City
• 資源: Web & Apps
城市 3.0• Smart City
• 資源: Data
Work Open Think
BSI for CEPS, 2014
City as a Platform –以城市的資料用於城市
交控系統
CCTV
感應器
影像
資訊系統 泊車資訊
資通訊基礎建設
解決方案
作業流程與服務
城市的策略與目標
應用 預測
Predict
預防
Prevent
參與
Participate
資料 擷取
Capture
分析
Analysis
融合
Fusion
奧克蘭的智慧城市策略
社群媒體
HPE Intelligent Platform
Enterprise Application
Creative nApps
Sensor Networking
External Data Source
Sensor ManagementSupervisory and Control Layer
Sensor DataIntegration
Data FusionIntelligent
Core
Data Lake
Real Time Streaming
Analytic Warehouse
Unstructured DataAnalytics
Data Fusion
API/Data Exchange
Engineering Sensors AV Sensors
Intelligent Command CenterPublic
DatasetsApplication
Marketplace
Create
Connect
Comprehend
Collect
HPE Intelligent Platform Solution
Connectors to Enterprise
Applications
Creative nApps
Sensor Networking
CMS IoT
Data FusionIntelligent
Core
Hadoop
Storm
Vertica
IDOL
HPE Bamboo
API/Data Exchange
Engineering Sensors AV Sensors
HPE Intelligent Command Center
Public Datasets
ApplicationMarketplace
Create
Connect
Comprehend
Collect
Connectors to External Data
Sources
紐西蘭奧克蘭市的轉變與挑戰
• 大奧克蘭都會區(2010年11月起合併鄰近7個城市及地區), 為全紐第一大城
• 奧克蘭市又稱為City of
Sails (帆之都)水上活動十分盛行
• 總人口數約150萬, 將近全紐人口1/3
• 主要大眾運輸工具:
‒ 火車
‒ 公車
‒ 渡輪
•各交通業務單位的困境 :
‒ 缺乏橫向聯繫與資訊共享
‒ 在適當位置各自建構其解決方
‒ 各自需要訓練有素的專業人員維護其系統
‒ 除所費不貲外,也缺乏效率與持續性
•對交通與市容的負面影響 :
‒ 自行車騎乘交通事故引發民怨
‒ 汽車駕駛占用公車專用道
‒ 道路禁停區違規使用
‒ 違規停車
‒ 市容破壞與塗鴉
Auckland Transport (AT) 的挑戰• 為大奧克蘭都會區在現在及未來提供安全與有效率的交通運輸服務• 如何最有效地利用現有資金, 並尋求新的營收機會• 滿足監管及立法之要求• 讓AT本身能夠成為世界一流之多重聯運交通系統營運與規劃之提供者
HPE Intelligent Platform Solution
Connectors to Enterprise
Applications
Creative nApps
Sensor Networking
CMS IoT
Data FusionIntelligent
Core
Hadoop
Storm
Vertica
IDOL
HPE Bamboo
API/Data Exchange
Engineering Sensors AV Sensors
HPE Intelligent Command Center
Public Datasets
ApplicationMarketplace
Create
Connect
Comprehend
Collect
Connectors to External Data
Sources
Video Surveillance and Analytics Maturity
Surveillance
Video Analytics
Situational Awareness
Predictive Analytics
Efficiency
Accura
cy
PlanOperate
Solution Breakdown
Auckland Transport and HPE identified the data sources
required to manage the transport ecosystem on a
day to day basis.
CCTV SensorsSocial Media
File System
External Systems
Solution Breakdown
HPE IDOL was used to collect, combine and
understand data from all sources.
CCTV SensorsSocial Media
File System
External Systems
HPE VMSHPE Video Analytics
HPE Connectors
HPE Intelligent Data Operating Layer
Solution Breakdown
VidSys PSIM was deployed on top of HPE software to provide a HPE Intelligent Data Operating Layer rich
user interface and powerful rules based engine designed
for transport agencies.CCTV Sensors
Social Media
File System
External Systems
HPE VMSHPE Video Analytics
HPE Connectors
HPE Intelligent Data Operating Layer
VidSys Workflow Engine
VidSys Physical Security Information Management User Interface
Putting it all together
–Ecosystem Solution Design by HPE
–All data is processed by a centralized data center supported by HPE servers and infrastructure.
–HPE networking ensures bandwidth intensive data, such as video, is delivered to the data center efficiently
–Implementation and solution support by HPE
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Solution Breakdown – HPE IDOL
Advanced Video Analytics
– 2000 video feeds recorded
– 200 video analytics running in
real time
– Used for optimising traffic flow through the city
– Improving safety by detecting
illegal or dangerous actions
– Track pedestrians, bikes, cars,
busses etc.
– Detect red light jumps, congestion, clearway violation &
much more
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Red Light Violation in Action
• Statistics on the number and type of violations are gathered to identify dangerous intersections
• The information is used to reduce accidents and justify new safety measures
Vehicle Counting
– Vehicles passing through important points in the road network are counted
– Classification of type of vehicle based on size, vehicle make and number plates
– Direction and flow of traffic is monitored
Solution Breakdown – VidSys PSIM
The VidSys Physical Security Information Management (PSIM) software platform helps mass transit organizations:
– Enhance emergency preparedness and response times.
– Provide a safer transport environment.
– Leverage existing infrastructure and legacy equipment to improve real time situation management.
– Manage and correlate data from a variety of devices.
– Provide a common operating picture for inter-agency information exchange.
– Enable compliance with regulatory requirements.
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Solution Breakdown - VidSys Workflow Engine
Automated Presentation of Standard Operations Procedures
When any situation arises, the VidSys software presents standard operating procedures to the operations center operator along with the information, devices and contact information required for resolution – all within a single user interface.
Rules Engine Provides intelligent correlation of data from
various systems, including time and geography, in order automatically to identify situations and then persistently update those situations as events unfold.
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Benefits Realization: Data Silos
• Many Surveillance Solutions
• Need Specialized Operations Experts
• Budgets spent on new infrastructure
Pain Points
• Build on existing Operations Infrastructure
• Open Standards based Platform
• Shared Unified Interface
HPE Solution • Unified data access
layer provides cross-department sharing of resources
• Future: Search Data then Share Video
Business Outcome
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Benefits Realization: Enforcement
• Gathering traffic violations is manual and time consuming.
• Post-incident review process is effort and time intensive
• Often people get away with it when nobody is looking.
Pain Points
• Automate Monitoring and Reporting
• Standard Operating Procedures
• Gather statistics for long-term review
HPE Solution • Enforce traffic rules and
improved compliance
• Improved safety for pedestrians, cyclists and motorists
• Future: Invest in prevention systems where required
Business Outcome
24
Benefits Realization: Planning
• No traffic flow statistics within the road network
• Current traffic flow analysis is outdated and does not adequately identify patterns in traffic flows
• Analytical models unable tocorrelate data residing in silos
Pain Points
• Automate collection of traffic flow parameters on roads
• Connectors to internal and external data sources
• Exploratory Data Science
• Identify patterns for better traffic flow design in future
HPE Solution • Future: Optimize traffic flows
through the City of Auckland
• Future: Invest in infrastructure where it’s really required
Business Outcome
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Benefits Realization: New Business Model
• Data is not available for differentiated services to citizens
• Government is a bottleneck to innovation
Pain Points
• HPE platform delivers open data integration
• Public-Private-Partnership to improve citizen centric services
HPE Solution • Future: Generate new
revenue streams from real world data
• Future: Offer differentiated services to citizens.
Business Outcome
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HPE Ecosystem Partners powering Auckland Transport
Solution Design
• HPE Autonomy
• HPE Technology Consulting
• VidSys
Client Integrator
• HPE Technology Consulting
Client Operations
• HPE Technology Services
Business Software
• HPE Intelligent Data Operating Layer
• HPE Intelligent Scene Analysis System
• HPE Automatic License Plate Recognition
• VidSys PSIM
Management Software
• HPE OneView
• HPE Insight Controller
Infrastructure
• HPE ProLiant Gen8 BladeSystem
• HPE 3PAR StoreServ, StoreAll
• HPE FlexFabric
In Future
In the future, Auckland Transport is planning to expand into other areas of the HPE HAVEn platform
Vertica is a cluster-based, columnar fast data analytics engine
Vertica Analytics Platform is designed to manage large, fast-growing volumes of data and provide very fast query performance when used for data warehouses and other query-intensive applications. The product drastically improves query performance over traditional relational database systems, provide high-availability, and petabyte scalability on commodity enterprise servers.
28
Summary
HPE’s Safe City Solution will enable Auckland Transport to:
– Improve safety for pedestrians, cyclists and motorists
– Optimize traffic flows through the City of Auckland
– Tackle inefficiencies by creating a single unified layer across all data silos
– Gather statistical information for analysis and transport planning
– Be predictive instead of reactive
– Enforce traffic laws and reduce violations
– Generate new revenue streams
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• 車輛追蹤
• 車牌/廠牌辨識
• 失竊車輛識別
• 出入口臉部辨識
• 人員路徑追蹤
• 人流計數
• 週界安全
• 塗鴉告警
安全管理
• 違規超車
• 超速
• 汽車闖紅燈
• 自行車闖紅燈
• 交通擁塞偵測
• 交通分析
• 停車執法
交通管理
• 無人看管行李
• 不尋常移動
• 過度擁擠
• 週界入侵
• 安全區域違規闖入
• 非指定方向移動
機場
• 鐵路穿越防護
• 民眾穿越軌道
• 逃票行為 - 跨過驗票閘門
鐵道網路
智慧影像與場景分析應用
社群媒體輿情分析
傳統的分析技術只能適用於機器資料
市民輿論是智慧城市的思想來源
論壇
新聞網
部落格
社群媒體
輿情分析
市調
網路資源
比較
事件趨勢
滿意度調查
消費者喜好調查
決策參考
產品功能比較
產品價格比較
產業資訊商機
潛在客戶
建立社群媒體資訊 (人類資訊,
Human information) 的自動收集與
處理機制:
• 人類資訊具多樣性,包含:文字,
聲音, 影像 … 等
• 人類資訊是動態的
• 人類資訊是複雜的
• 人類資訊的涵意是有關聯性的
聲音 文字
影像
電子郵件
文件
視訊
社群媒體輿情分析及應用藉由收集與分析社群媒體資訊以獲得對輿論的洞察力
事故往往在官方意識到之前便已在社群媒體上分享
透過情感與語意分析,可瞭解市民在目前的想法和態度
可藉社群媒體瞭解市民對普遍的交通運輸議題意見及趨勢
輿情回饋收集與分析
• 奧克蘭 AT Twitter Feed 即時資訊擷取與呈現• 情感分析、群集分析與趨勢分析• 災害或交通資訊即時反應• 可疑活動、治安事件預測與預防
• 於倫敦奧運會期間, 透過對社群媒體資訊的充份掌握, 用以增進警力的行動
• 分析新的且具社會影響力的主聲量, 並及早收集和深入瞭解相關問題
• 取得精確的社群媒體情感分析及建立更有效的事件反應
其他應用實例 –
英國倫敦警局